| Literature DB >> 20334716 |
E Assana1, F Amadou, E Thys, M W Lightowlers, A P Zoli, P Dorny, S Geerts.
Abstract
A survey was conducted in 150 households owning 1756 pigs in the rural areas of Mayo-Danay division in the north of Cameroon. A questionnaire survey was carried out to collect information on the pig-farming system and to identify potential risk factors for Taenia solium cysticercosis infection in pigs. Blood samples were collected from 398 pigs with the aim of estimating the seroprevalence of T. solium cysticercosis. The results showed that 90.7% of the pigs are free roaming during the dry season and that 42.7% of households keeping pigs in the rural areas have no latrine facility. Seventy-six per cent of the interviewed pig owners confirmed that members of the household used open-field defecation. Enzyme-linked immunosorbent assay (ELISA) for antigen and antibody detection showed an apparent prevalence of cysticercosis of 24.6% and 32.2%, respectively. A Bayesian approach, using the conditional dependence between the two diagnostic tests, indicated that the true seroprevalence of cysticercosis in Mayo-Danay was 26.6%. Binary logistic regression analysis indicated that a lack of knowledge of the taeniasis-cysticercosis complex and the absence of a pig pen in the household were associated with pig cysticercosis.Entities:
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Year: 2010 PMID: 20334716 PMCID: PMC2965494 DOI: 10.1017/S0022149X10000167
Source DB: PubMed Journal: J Helminthol ISSN: 0022-149X Impact factor: 2.170
Fig. 1Map showing the study area (Mayo-Danay division, grey shading) in the north of Cameroon (all other Cameroon districts shown as white areas).
The true prevalence of porcine cysticercosis in Mayo-Danay and the sensitivity (Se) and specificity (Sp) of Ag-ELISA and Ab-ELISA estimated by means of Bayesian analysis (with 95% confidence intervals).
Model validation based on Bayesp, DIC and Pd used to estimate the prevalence of cysticercosis in Mayo-Danay division and the sensitivity and specificity of Ag-ELISA and Ab-ELISA.
Bayesp, Bayesian-p values; DIC, Deviance Information Criterion; DIC_Pr, DIC values from posterior mean of the multinomial probabilities; DIC_P, DIC values from posterior mean of the parameter of the model using parent nodes.
Univariate analysis of risk factors associated with seroprevalence of porcine cysticercosis in Mayo-Danay.